E-commerce & Marketplaces

Flipkart API scraper API

The Flipkart API returns product data from India's largest e-commerce marketplace as clean JSON.

12 actionsLive JSON1,000 free creditsMCP-ready

🤖 Using an AI assistant? Copy this link into ChatGPT / Claude / Cursor — it reads every endpoint and parameter instantly and tells you if this API fits your use case.

The primary search endpoint returns products with title, price, MRP, discount, rating, image and URL plus filters and pagination, and you can pull a product, reviews, a category, browse, similar items, a seller, variants and autocomplete. It is built for price intelligence, catalog enrichment and Indian e-commerce analytics that need Flipkart data without a scraper. One ReefAPI key, one shared credit pool, the standard envelope.

Live example

Real request and response JSON

Captured from the indexed primary action, search, on Jul 18, 2026, 5:19 PM UTC.

Captured request

{
  "method": "POST",
  "url": "https://api.reefapi.com/flipkart/v1/search",
  "headers": {
    "x-api-key": "$REEF_KEY",
    "content-type": "application/json"
  },
  "body": {
    "q": "laptop"
  }
}

Captured response

{
  "ok": true,
  "meta": {
    "api": "flipkart",
    "endpoint": "search",
    "mode": "live",
    "latency_ms": 2824.7,
    "record_count": 24,
    "bytes": 557781,
    "cache_hit": false,
    "method": "embedded_initial_state",
    "extra": {
      "url": "https://www.flipkart.com/search?q=laptop&page=1",
      "total_results": 2312,
      "page": 1,
      "page_size": 24,
      "has_more": true,
      "next_page": 2
    }
  },
  "data": {
    "results": [
      {
        "product_id": "COMHGYAFPJ2BGX6H",
        "listing_id": "LSTCOMHGYAFPJ2BGX6HVGQ2CF",
        "itm_id": "itm2be4c7e3b9728",
        "title": "ASUS ExpertBook P1 (i3 14th Gen) with 1 Yr ADP Intel Core 3 14th Gen 100U - (8 GB/512 GB SSD/Windows 11 Home) P1403CVA-S61821WS Thin and Light Laptop",
        "subtitle": "14 Inch, Misty Grey, 1.40 kg, With MS Office",
        "url": "https://www.flipkart.com/asus-expertbook-p1-i3-14th-gen-1-yr-adp-intel-core-3-gen-100u-8-gb-512-gb-ssd-windows-11-home-p1403cva-s61821ws-thin-light-laptop/p/itm2be4c7e3b9728?pid=COMHGYAFPJ2BGX6H",
        "price": 47990,
        "mrp": 69990,
        "discount_percent": 31,
        "currency": "INR",
        "rating": 4.3,
        "rating_count": 6562,
        "review_count": 524,
        "images": [
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/r/7/u/-original-imahmpquxzztyzny.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/5/l/g/-original-imahj7qryhccspcb.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/i/a/b/-original-imahj7wfh39ufrw9.jpeg?q=70"
        ],
        "image": "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/r/7/u/-original-imahmpquxzztyzny.jpeg?q=70",
        "availability": "IN_STOCK",
        "in_stock": true,
        "key_specs": [
          "Intel Core 3 Processor (14th Gen)",
          "8 GB DDR5 RAM",
          "64 bit Windows 11 Home Operating System"
        ],
        "vertical": "computer",
        "analytics": {
          "category": "Laptops",
          "subCategory": "Laptop",
          "superCategory": "LaptopAndDesktop",
          "vertical": "Laptop"
        },
        "flipkart_advantage": true
      },
      {
        "product_id": "COMHMYD8FQU2Z8QG",
        "listing_id": "LSTCOMHMYD8FQU2Z8QGCCSRS3",
        "itm_id": "itm10b2e9cf77fde",
        "title": "Acer Aspire 15 Lite(i5 14th Gen) Intel Core 5 210H - (16 GB/512 GB SSD/Windows 11 Home) AL15-52H Notebook",
        "subtitle": "15.6 inch, Pure Silver, 1.7 kg",
        "url": "https://www.flipkart.com/acer-aspire-15-lite-i5-14th-gen-intel-core-5-210h-16-gb-512-gb-ssd-windows-11-home-al15-52h-notebook/p/itm10b2e9cf77fde?pid=COMHMYD8FQU2Z8QG",
        "price": 56990,
        "mrp": 78999,
        "discount_percent": 27,
        "currency": "INR",
        "rating": 4.3,
        "rating_count": 23,
        "review_count": 3,
        "images": [
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/r/l/n/-original-imahn6vwesuegyn8.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/d/x/k/-original-imahn6vwjcrhkqgh.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/p/9/b/-original-imahn6vwjvhv767w.jpeg?q=70"
        ],
        "image": "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/r/l/n/-original-imahn6vwesuegyn8.jpeg?q=70",
        "availability": "IN_STOCK",
        "in_stock": true,
        "key_specs": [
          "Intel Core 5 Processor",
          "16 GB LPDDR5 RAM",
          "64 bit Windows 11 Home Operating System"
        ],
        "vertical": "computer",
        "analytics": {
          "category": "Laptops",
          "subCategory": "Laptop",
          "superCategory": "LaptopAndDesktop",
          "vertical": "Laptop"
        },
        "flipkart_advantage": true
      },
      {
        "product_id": "COMHDGD5FH6NZPHD",
        "listing_id": "LSTCOMHDGD5FH6NZPHD567UTY",
        "itm_id": "itmdbf8db6a6f79a",
        "title": "Primebook 2 Pro (2025) in-Built AI MediaTek Helio G99 (MT[redacted-phone] GB/128 GB/Android 15) PBG9914128#4278C Laptop",
        "subtitle": "14.1 Inch, Gray",
        "url": "https://www.flipkart.com/primebook-2-pro-2025-in-built-ai-mediatek-helio-g99-mt8781-8-gb-128-gb-android-15-pbg[redacted-phone]c-laptop/p/itmdbf8db6a6f79a?pid=COMHDGD5FH6NZPHD",
        "price": 26990,
        "mrp": 39990,
        "discount_percent": 32,
        "currency": "INR",
        "rating": 4.4,
        "rating_count": 1540,
        "review_count": 453,
        "images": [
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/t/i/8/-original-imahfskhzaahq9es.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/e/o/3/-original-imahfskmvgzwanes.jpeg?q=70",
          "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/4/t/9/-original-imahfskmpajb4yvu.jpeg?q=70"
        ],
        "image": "http://rukmini1.flixcart.com/image/832/832/xif0q/computer/t/i/8/-original-imahfskhzaahq9es.jpeg?q=70",
        "availability": "IN_STOCK",
        "in_stock": true,
        "key_specs": [
          "MediaTek Helio G99 (MT8781) Processor",
          "8 GB LPDDR4X RAM",
          "64 bit Android Operating System"
        ],
        "vertical": "computer",
        "analytics": {
          "category": "Laptops",
          "subCategory": "Laptop",
          "superCategory": "LaptopAndDesktop",
          "vertical": "Laptop"
        },
        "flipkart_advantage": true
      }
    ],
    "query": "laptop",
    "total_results": 2312,
    "filters_applied": {},
    "page": 1,
    "page_size": 24,
    "has_more": true,
    "next_page": 2
  }
}

Actions

What the Flipkart API scraper API does

Action	Description	Concrete use case	Key params
search	Flipkart product search with filters — keyword search returning product cards (title/price/mrp/discount/rating/image/url) plus the total result count, paginated. Filter by brand, price range, minimum rating, minimum discount, F-Assured and any category facet (use the `filters` action to discover what a query supports).	Pricing teams call search to get flipkart product search with filters.	q, page, sort, brand, min_price, ...
product	full product page facts (title/price/mrp/rating/specs/highlights/images/seller/similar)	Marketplace operators call product to get full product page facts (title/price/mrp/rating/specs/highlights/images/seller/similar).	url, itm_id
reviews	Flipkart buyer reviews for a product, paginated — each review has rating, title, body, reviewer name, location, certified-buyer badge, helpful/up/down votes and date, plus the product's total review count. Page through with meta.next_page to collect them all.	Catalog enrichment teams call reviews to get flipkart buyer reviews for a product, paginated.	url, slug, itm_id, page, sort
category	category/browse listing cards from a Flipkart category URL/path	Retail analysts call category to get category/browse listing cards from a Flipkart category URL/path.	url, path, page
browse	alias of category	Pricing teams call browse to get alias of category.	url, path, page
similar	similar/related products from a product page reco widgets	Marketplace operators call similar to get similar/related products from a product page reco widgets.	url, itm_id, product_id
seller	seller storefront catalog cards + seller metadata	Catalog enrichment teams call seller to get seller storefront catalog cards + seller metadata.	seller_id, seller_path, seller_url, product_id, product_url, ...
autocomplete	search autosuggest suggestions for a partial query	Retail analysts call autocomplete to search autosuggest suggestions for a partial query.	q
categories	top-level navigation/category links from homepage state	Pricing teams call categories to get top-level navigation/category links from homepage state.	none
variants	Product variants (the sibling SKUs — color/storage/size) each with its OWN price, stock status and product URL, from the product page.	Marketplace operators call variants to get product variants (the sibling SKUs.	url, itm_id, product_id
filters	Available search filters (facets) for a query — every filter Flipkart offers for these results: brand, price, rating, discount, offers, availability and category-specific facets (processor, RAM, screen size, etc.), each value carrying a count and a ready-to-use filter `param`. Feed a value's `param` back into search's `facets` argument.	Catalog enrichment teams call filters to get available search filters (facets) for a query.	q, brand
offers	Bank, EMI, exchange and cashback offers for a product (the offer strip on the product page): e.g. 'Flipkart Axis Bank Card 5% cashback', 'Exchange offer up to ₹X off', 'No Cost EMI'. Honest-empty when a product has no active offers.	Retail analysts call offers to get bank, EMI, exchange and cashback offers for a product (the offer strip on the product page).	url, itm_id

Code samples

Call search from your stack

curl -X POST https://api.reefapi.com/flipkart/v1/search \
  -H "x-api-key: $REEF_KEY" \
  -H "content-type: application/json" \
  -d '{"q":"laptop"}'

import requests

r = requests.post(
    "https://api.reefapi.com/flipkart/v1/search",
    headers={"x-api-key": REEF_KEY},
    json={
  "q": "laptop"
},
)
print(r.json()["data"])

const res = await fetch("https://api.reefapi.com/flipkart/v1/search", {
  method: "POST",
  headers: {
    "x-api-key": process.env.REEF_KEY,
    "content-type": "application/json",
  },
  body: JSON.stringify({
  "q": "laptop"
}),
});
const { ok, data, meta, error } = await res.json();

MCP one-liner

Ask your MCP-connected assistant: call reefapi.flipkart.search with {"q":"laptop"}.

Use cases

Who uses this API and why

Pricing teams call search to track Flipkart prices, MRP and discounts against competitors.
Catalog-enrichment tools use product and variants to fill listings with specs and options.
Market analysts use category and filters to size demand and price ranges in an Indian segment.

FAQ

Questions developers ask before integrating

What is the Flipkart API scraper API?

Flipkart API scraper API is a ReefAPI endpoint group for flipkart api scraper It returns live JSON through POST requests under /flipkart/v1.

Is the Flipkart API scraper API free to try?

Yes. ReefAPI starts with 1,000 free credits, no card required. Flipkart API scraper calls use the same shared credit balance as every other ReefAPI engine.

Do I need a Flipkart API scraper login or account?

No login to Flipkart API scraper is needed for the API response. You call ReefAPI with your x-api-key header, and the playground can run live examples before you create a production key.

How fresh is the Flipkart API scraper data?

The page example is captured from a live search call, and production requests fetch live data through ReefAPI rather than a static sample.

How many credits does the Flipkart API scraper API use?

Flipkart API scraper actions currently cost 1 credit per successful call. Failed or blocked calls are free, and all APIs draw from one credit pool.

Can I call Flipkart API scraper from an AI assistant or MCP client?

Yes. Connect ReefAPI once through MCP and your assistant can call flipkart actions with the same key, credit pool and JSON envelope used by normal REST requests.

Is the Flipkart API scraper API a Flipkart API scraper scraper?

It is the managed alternative to a DIY Flipkart API scraper scraper. Instead of building and maintaining your own scraper — proxies, headless browsers, captcha and constant breakage — you call one ReefAPI endpoint and get the same flipkart api scraper back as clean JSON.

Why does my Flipkart API scraper scraper keep getting blocked?

Most Flipkart API scraper scrapers break on anti-bot defenses, rate limits and IP bans that need rotating residential proxies and browser fingerprinting to clear. ReefAPI handles all of that for you — no proxies, no captchas, no maintenance — and returns live JSON. Blocked or failed calls are free.

docs / flipkart

Flipkart API scraper

base /flipkart/v112 endpoints

post/flipkart/v1/search1 credit

Flipkart product search with filters — keyword search returning product cards (title/price/mrp/discount/rating/image/url) plus the total result count, paginated. Filter by brand, price range, minimum rating, minimum discount, F-Assured and any category facet (use the `filters` action to discover what a query supports).

Parameter		Allowed / range	Description
q	required	—	Search keyword.
page = 1	optional	1–	Result page (1-based). Page forward with meta.next_page.
sort	optional	relevance · popularity · price_asc · price_desc · recency_desc	Sort order.
brand	optional	—	Filter to a brand (exact Flipkart brand name, e.g. Samsung, HP).
min_price	optional	—	Minimum price in ₹ (INR). Applied to the returned cards.
max_price	optional	—	Maximum price in ₹ (INR). Applied to the returned cards.
min_rating	optional	4 · 3 · 2 · 1	Keep only products rated this many stars and up.
min_discount	optional	10 · 20 · 30 · 40 · 50 · 60 · 70 · 80	Keep only products with at least this % discount.
f_assured = false	optional	—	When true, restrict to F-Assured (Flipkart-Assured quality/delivery) listings.
no_cost_emi = false	optional	—	When true, restrict to products with a No Cost EMI offer.
include_out_of_stock = false	optional	—	When true, include out-of-stock products in the results.
facets	optional	—	Advanced: raw category-facet filter fragment(s) taken from the `filters` action's `param` field (e.g. 'facets.processor[]=Core i7'). Pass one string or a list to stack several facets.

Try in playground →

post/flipkart/v1/product1 credit

full product page facts (title/price/mrp/rating/specs/highlights/images/seller/similar)

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart product URL.
itm_id	optional	—	Flipkart item id (the itmXXXX in a /p/ URL).

Try in playground →

post/flipkart/v1/reviews1 credit

Flipkart buyer reviews for a product, paginated — each review has rating, title, body, reviewer name, location, certified-buyer badge, helpful/up/down votes and date, plus the product's total review count. Page through with meta.next_page to collect them all.

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart product URL.
slug	optional	—	Product slug (the part before /p/; derived from url if omitted).
itm_id	optional	—	Flipkart item id (the itmXXXX in a /p/ URL).
page = 1	optional	1–	Result page (1-based). Page forward with meta.next_page.
sort	optional	MOST_RECENT · MOST_HELPFUL · POSITIVE_FIRST · NEGATIVE_FIRST	Review ordering.

Try in playground →

post/flipkart/v1/category1 credit

category/browse listing cards from a Flipkart category URL/path

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart category URL. (category needs url OR path.)
path	optional	—	Site-relative category path (alternative to url).
page = 1	optional	1–	Result page (1-based). Page forward with meta.next_page.

Try in playground →

post/flipkart/v1/browse1 credit

alias of category

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart category URL (alias of the category action).
path	optional	—	Site-relative category path.
page = 1	optional	1–	Result page (1-based). Page forward with meta.next_page.

Try in playground →

post/flipkart/v1/similar1 credit

similar/related products from a product page reco widgets

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart product URL.
itm_id	optional	—	Flipkart item id (the itmXXXX in a /p/ URL).
product_id	optional	—	Flipkart product id (FSN) to exclude from results.

Try in playground →

post/flipkart/v1/seller1 credit

seller storefront catalog cards + seller metadata

Parameter		Allowed / range	Description
seller_id	optional	—	Flipkart seller id. (seller needs seller_id OR seller_path/url.)
seller_path	optional	—	Site-relative seller storefront path.
seller_url	optional	—	Full seller storefront URL.
product_id	optional	—	Product id for seller-of-this-product lookup.
product_url	optional	—	Product URL to resolve the seller from.
url	optional	—	Generic Flipkart URL (seller or product).
page = 1	optional	1–	Result page (1-based). Page forward with meta.next_page.

Try in playground →

post/flipkart/v1/autocomplete1 credit

search autosuggest suggestions for a partial query

Parameter		Allowed / range	Description
q	required	—	Search keyword.

Try in playground →

post/flipkart/v1/categories1 credit

top-level navigation/category links from homepage state

Try in playground →

post/flipkart/v1/variants1 credit

Product variants (the sibling SKUs — color/storage/size) each with its OWN price, stock status and product URL, from the product page.

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart product URL.
itm_id	optional	—	Flipkart item id (the itmXXXX in a /p/ URL).
product_id	optional	—	Flipkart product id (FSN).

Try in playground →

post/flipkart/v1/filters1 credit

Available search filters (facets) for a query — every filter Flipkart offers for these results: brand, price, rating, discount, offers, availability and category-specific facets (processor, RAM, screen size, etc.), each value carrying a count and a ready-to-use filter `param`. Feed a value's `param` back into search's `facets` argument.

Parameter		Allowed / range	Description
q	required	—	Search keyword.
brand	optional	—	Optionally scope the facets to a brand first.

Try in playground →

post/flipkart/v1/offers1 credit

Bank, EMI, exchange and cashback offers for a product (the offer strip on the product page): e.g. 'Flipkart Axis Bank Card 5% cashback', 'Exchange offer up to ₹X off', 'No Cost EMI'. Honest-empty when a product has no active offers.

Parameter		Allowed / range	Description
url	optional	—	Full Flipkart product URL.
itm_id	optional	—	Flipkart item id (the itmXXXX in a /p/ URL).

Try in playground →

Example request · search

curl -X POST https://api.reefapi.com/flipkart/v1/search \
  -H "x-api-key: $REEF_KEY" \
  -H "content-type: application/json" \
  -d '{"q":"laptop"}'

Response shape

{
  "ok": true,
  "data": { /* the result */ },
  "meta": {
    "latency_ms": 240,
    "record_count": 12,
    "completeness_pct": 100
  },
  "error": null
}